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København K, Denmark beBee Careers Full timeJob Description\We are seeking teaching assistants to support the delivery of courses in our Master's program in Data Science.\Courses and Sections\Social Data Science Base Camp: This course covers the fundamentals of programming, data collection, and data analysis in Python, covering topics such as variables, data structures, functions, APIs, scraping,...
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København K, Denmark beBee Careers Full timeJob Details\This job involves supporting the delivery of courses in our Master's program in Data Science.\Key Responsibilities\Assist in teaching seminars and workshops.Participate in regular coordination meetings with the teaching team.Evaluate student submissions and provide feedback.Support students in developing their research skills and...
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Social Data Science Teaching Assistant Positions
2 weeks ago
We are seeking teaching assistants to support the delivery of courses and sections in the Master's program in Social Data Science. The successful candidates will assist in teaching seminars, leading exercise sessions, and participating in coordination meetings. They will also be responsible for providing feedback on student projects and assignments.
The teaching assistants will work closely with the faculty members to develop course materials, assess student submissions, and provide guidance to students. They will also participate in regular coordination meetings with the teaching team to discuss course-related matters and share best practices. As a teaching assistant, you will have the opportunity to gain valuable experience in teaching, academic administration, and research while working in a dynamic and interdisciplinary environment.
We are looking for individuals who possess excellent communication and interpersonal skills, a strong passion for education, and a willingness to learn and adapt to new situations. If you are a motivated and organized individual who is eager to make a positive impact on students' lives, we encourage you to apply for this exciting opportunity.
About the Course
Social Data Science Base Camp is a core course in the Master's program that covers the fundamentals of social data science concepts, theories, and methods. The course includes introductions to paradigmatic theories, concepts, and methods for the social scientific study of human behavior, social networks, and cultural ideas. It also covers topics such as variables, data structures, functions, the social context of programming, APIs, scraping, and basic regression and basic machine learning principles.
Elementary Social Data Science is another core course that introduces students to a typology of data and prominent research designs from the social sciences. The course discusses four general approaches to data collection in Social Data Science and reviews approaches to sound research design and analysis. TAs will lead exercise sessions building on the lecture content and, in cooperation with the course instructors, revise or develop exercise session plans as necessary.
Social Data Analysis is a core course that covers 4 hours of lectures and 6 hours of teaching per week during block 2 (7 weeks). Teaching includes introductions to paradigmatic theories, concepts, and methods for the social scientific study of human behavior, social networks, and cultural ideas. In addition to the course seminars, the TAs are expected to participate in the weekly lectures and coordination meetings.
